Dermatology

Integrative multi-omics identifies a diagnostic T cell signature for cutaneous squamous cell carcinoma.

Cutaneous squamous cell carcinoma (cSCC) involves complex immune interactions. This study aimed to identify a T cell-related gene signature to characterize the immune landscape and aid in molecular diagnosis. We integrated single-cell RNA sequencing (scRNA-seq) and five bulk microarray datasets, utilizing an independent RNA-seq cohort for external validation. Feature genes were identified from the...

Comparison of Indocyanine Green Versus Isosulfan Blue in Melanoma Sentinel Node Biopsy.

BACKGROUND: Sentinel lymph node biopsy (SLNB) is the standard for staging melanoma. Traditional dual-mapping with technetium-99m radioisotope (RI) and isosulfan blue (IB) has logistical and clinical limitations. Indocyanine green (ICG) fluorescence has emerged as an alternative tracer, but its comparative performance in melanoma SLNB remains incompletely defined. This study aimed to compare the in...

Imaging and machine learning reveal pigment ring spatial characteristics in vitiligo progression.

BACKGROUND: Vitiligo is a chronic autoimmune disorder causing skin depigmentation due to melanocyte loss, with pigment ring dynamics being key to unde...

Application of transformer-enhanced convolutional neural network: multicenter MRI assessment of muscle invasion in bladder cancer.

OBJECTIVE: Accurate preoperative assessment of muscle invasion in bladder cancer (BCa) guides therapy selection. However, MRI interpretation varies ac...

mRNA-based melanoma vaccines targeting gp100 and TRP2 macromolecules.

Adapalene in Acne Treatment: Innovations in Nanocarriers and Role of AI in Drug Delivery- A Comprehensive Review.

INTRODUCTION: Acne vulgaris is a prevalent dermatological disorder that affects millions worldwide, causing both physical discomfort and psychological...

Integrative Machine Learning and Network Pharmacology Approach to Uncover Phytochemical Therapeutics for Melanoma and Breast Cancer.

INTRODUCTION: Melanoma and Breast cancer are the leading cancers that cause thousands of deaths annually worldwide. Although several early identificat...

Photon-counting Detector CT Spectral Reconstructions for Radiomics-based Liver Lesion Classification: A Multicenter Study.

OBJECTIVES: Accurate noninvasive classification of hepatic lesions remains a diagnostic challenge, particularly on conventional CT. Photon Counting De...

Beyond black-box AI: Comparing ChatGPT-4 interpretability and accuracy to CNNs in melanocytic lesions diagnosis.

BACKGROUND: Artificial intelligence (AI) algorithms have advanced and recently shown high accuracy in diagnosing skin cancer from dermoscopic images. ...

Deep learning improves image quality in motion-robust and sedation-free pediatric brain MRI.

OBJECTIVES: Motion and limited compliance compromise diagnostic MR image quality, particularly in pediatric patients who frequently require sedation. ...

Integrative Dermatology for Longevity: The Synergy of Topical and Internal Approaches.

Skin aging reflects both intrinsic biological decline and extrinsic influences collectively known as the skin exposome, including ultraviolet (UV) rad...

Can large language models like ChatGPT and Gemini interpret cervical cytology accurately?

Large language models (LLMs) have shown promise in medical imaging, but their utility in cytology remains underexplored. This study evaluates GPT-5 an...

Real-world text-only inference of PI-RADS v2.1 from prostate MRI reports using large language models: a lesion-level, zone-aware study.

PURPOSE: To evaluate the feasibility and limitations of real-world, text-only inference of PI-RADS v2.1 categories from prostate MRI reports using lar...

Three-Dimensional Stretchable Tactile Sensors for Robotic Bionic Skin.

Stretchable tactile sensors are essential for robotic skin; however, conventional planar integration methods struggle to accommodate complex geometrie...

[Contrast-enhanced CT-based habitat radiomics for analyzing the predictive capability for oral squamous cell carcinoma].

OBJECTIVES: By comparing deep learning and habitat analysis models based on contrast-enhanced CT (CECT), this study explores a novel approach to predi...

mRNA vaccines in cancer immunotherapy: current progress and perspectives in solid tumors and hematologic malignancies.

The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the development of nucleic acid-based therapeutics, particular...

Multimodal attention-enhanced network of segmenting acute ischemic stroke from perfusion images.

Acute ischemic stroke (AIS) is a major cause of long-term disability and mortality worldwide. Accurate segmentation of stroke lesions, particularly th...

A deep learning model for histopathological diagnosis of actinic keratosis: a diagnostic case control accuracy study.

BACKGROUND: Actinic keratosis (AK) is a precancerous skin lesion with the potential to progress into squamous cell carcinoma (SCC), with an overall pr...

Multi-label Ensemble Model for Knee Joint Anatomy and Lesion Segmentation: Segmentation of Clinical Images With Ensembling, Morphology, and Attention (SCEMA).

PURPOSE: Quantitative MRI analysis holds significant promise for improving the early diagnosis and prognosis of osteoarthritis (OA), where accurate ti...

Deep learning-based non-contrast CT imaging markers enhance post-transfer DWI core volume prediction.

BACKGROUND: Deep learning enables the extraction of ischemic lesion size and hypodensity imaging markers from noncontrast CT (DLNCCT) in patients with...